Evidence map›Paper›PMID 41245592›Full record

ArticleCardiology research and practice2025

Alkaline Phosphatase to Albumin Ratio as a Novel Predictor of All-Cause Mortality in Critically Ill Patients With Atrial Fibrillation.

Haosheng Wu, Xueqian Shen, Yu Xin, Xue Jiang, Caixia Guo

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Article in Cardiology research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Haosheng WuCardiovascular Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.ORCID https://orcid.org/0009-0004-1583-4654
Xueqian ShenCardiovascular Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.ORCID https://orcid.org/0009-0006-3045-9199
Yu XinCardiovascular Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.ORCID https://orcid.org/0009-0003-8021-426X
Xue JiangCardiovascular Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.ORCID https://orcid.org/0009-0001-3790-5757
Caixia GuoCardiovascular Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.ORCID https://orcid.org/0000-0003-2313-7731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alkaline phosphatase to albumin ratio (APAR) is an emerging prognostic indicator for sepsis, cancer, and coronary artery disease. However, the predictive value of APAR in patients with atrial fibrillation (AF) has not been investigated yet. Therefore, this study aims to explore the association between APAR and the risk of mortality in critically ill patients with AF. Methods: The data of AF patients were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. Patients with AF were divided into three groups according to the APAR tertiles. Study outcomes were defined as 28-day and 365-day all-cause mortality. The Kaplan-Meier analysis was conducted to compare the survival rates between groups. Cox proportional hazards regression and restricted cubic spline (RCS) were used to investigate the association between APAR and all-cause mortality. Receiver operating characteristic (ROC) curve analysis was utilized to evaluate the predictive value of APAR for study outcomes. Results: A total of 1105 critically ill patients with AF were enrolled in the study. The Kaplan-Meier analysis demonstrated that patients with the highest APAR had the lowest survival rate. The Cox regression analysis indicated that the highest APAR tertile was significantly associated with 28-day (HR, 1.64 [95% CI 1.20-2.25]; Conclusions: Our research suggested that APAR was a simple biomarker for the prognosis in patients with AF.

Indexed as

albuminalkaline phosphataseall-cause mortalityatrial fibrillationprognosis

Identifiers

PMID41245592
PMCPMC12614730

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